Evidence map›Paper›PMID 37644460›Full record

SynthesisBMC genomics2023

Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function.

Christopher Kintu, Opeyemi Soremekun, Tafadzwa Machipisa, Richard Mayanja, Robert Kalyesubula, Bernard S Bagaya, Daudi Jjingo, Tinashe Chikowore, Segun Fatumo

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. African ancestry-enriched variants in themedRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. AGPAT3 deficiency impairs adipocyte differentiation and leads to a lean phenotype in mice.American journal of physiology. Endocrinology and metabolism · 2024
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Christopher KintuThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Opeyemi SoremekunThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Tafadzwa MachipisaDepartment of Medicine, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa.
Richard MayanjaThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Robert KalyesubulaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Bernard S BagayaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Daudi JjingoAfrican Center of Excellence in Bioinformatics (ACE-B), Makerere University, Kampala, 10101, Uganda.
Tinashe ChikoworeMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Segun FatumoThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda. segun.fatumo@lshtm.ac.uk.
Uganda Virus Research Institute · UGMakerere University · UGLondon School of Hygiene & Tropical Medicine · GBUniversity of Cape Town · ZAUniversity of the Witwatersrand · ZA

Funding

Medical Research Council MC_UU_00033/3Wellcome Trust
6 · The paper itself

Abstract

Despite recent efforts to increase diversity in genome-wide association studies (GWASs), most loci currently associated with kidney function are still limited to European ancestry due to the underlying sample selection bias in available GWASs. We set out to identify susceptibility loci associated with estimated glomerular filtration rate (eGFRcrea) in 80027 individuals of African-ancestry from the UK Biobank (UKBB), Million Veteran Program (MVP), and Chronic Kidney Disease genetics (CKDGen) consortia.We identified 8 lead SNPs, 7 of which were previously associated with eGFR in other populations. We identified one novel variant, rs77408001 which is an intronic variant mapped to the ELN gene. We validated three previously reported loci at GATM-SPATA5L1, SLC15A5 and AGPAT3. Fine-mapping analysis identified variants rs77121243 and rs201602445 as having a 99.9% posterior probability of being causal. Our results warrant designing bigger studies within individuals of African ancestry to gain new insights into the pathogenesis of Chronic Kidney Disease (CKD), and identify genomic variants unique to this ancestry that may influence renal function and disease.

Indexed as

Genome-Wide Association StudyRenal Insufficiency, ChronicBlack PeopleHumansKidneyMutationAfricaeGFRFine mappingGWASKidney function

Identifiers

PMID37644460
PMCPMC10464349
OpenAlexW4386246350

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.